← Authors

Oren Freifeld

28 papers · 2012–2025 · 7 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (13) 🐝 Cross-Pollinator (11) 🌈 Renaissance Researcher (6) πŸ—ΊοΈ Taxonomy Completionist (12) 🌍 Conference Polyglot (7) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸ† Keyword Champion (2) πŸ—ƒοΈ Keyword Collector (108) πŸ“ˆ Trend Setter πŸ’Ž Century Club (28) ⚑ Prolific Year (5)

Conferences

CVPR (6) AISTATS (5) ECCV (4) ICML (4) ICCV (3) NIPS (3) UAI (3)

Top co-authors

Or Dinari (6) Ron Shapira Weber (5) Roy Uziel (4) Shahaf E. Finder (4) Irit Chelly (4) SΓΈren Hauberg (3) John W. Fisher III (3) Guy Rosman (2) Vlad Winter (2) Ron A Shapira Weber (2)

Keywords

mixture model (3) nonparametric clustering (2) unsupervised learning (2) dirichlet process mixture model (2) joint alignment (2) riemannian manifold (2) temporal alignment (2) bayesian nonparametric (2) image transformation (2) diffeomorphic registration (2) representation learning (2) video alignment (2) dirichlet process (2) metric learning (2) diffeomorphic transformation (2) mcmc sampling (2) bayesian inference (1) principal component analysis (1) transfer learning (1) uncertainty modeling (1)

Papers

Synchronization of Multiple Videos ICCV 2025
TimePoint: Accelerated Time Series Alignment via Self-Supervised Keypoint and Descriptor Learning ICML 2025
Improving the Effective Receptive Field of Message-Passing Neural Networks ICML 2025
Clustering via Self-Supervised Diffusion ICML 2025
Consistent Amortized Clustering via Generative Flow Networks AISTATS 2025
Wavelet Convolutions for Large Receptive Fields ECCV 2024
SpaceJAM: a Lightweight and Regularization-free Method for Fast Joint Alignment of Images ECCV 2024
Trainable Highly-expressive Activation Functions ECCV 2024
Regularization-free Diffeomorphic Temporal Alignment Nets ICML 2023
From ViT Features to Training-free Video Object Segmentation via Streaming-data Mixture Models NIPS 2023
Revisiting DP-Means: fast scalable algorithms via parallelism and delayed cluster creation UAI 2022
Sampling in Dirichlet Process Mixture Models for Clustering Streaming Data AISTATS 2022
Common Failure Modes of Subcluster-based Sampling in Dirichlet Process Gaussian Mixture Models - and a Deep-learning Solution AISTATS 2022
DeepDPM: Deep Clustering With an Unknown Number of Clusters CVPR 2022
A Deep Moving-Camera Background Model ECCV 2022
Variational- and metric-based deep latent space for out-of-distribution detection UAI 2022
JA-POLS: A Moving-Camera Background Model via Joint Alignment and Partially-Overlapping Local Subspaces CVPR 2020
Scalable and Flexible Clustering of Grouped Data via Parallel and Distributed Sampling in Versatile Hierarchical Dirichlet Processes UAI 2020
Diffeomorphic Temporal Alignment Nets NIPS 2019
Bayesian Adaptive Superpixel Segmentation ICCV 2019
Deep Diffeomorphic Transformer Networks CVPR 2018
Dreaming More Data: Class-dependent Distributions over Diffeomorphisms for Learned Data Augmentation AISTATS 2016
Highly-Expressive Spaces of Well-Behaved Transformations: Keeping It Simple ICCV 2015
A Dirichlet Process Mixture Model for Spherical Data AISTATS 2015
A Mixture of Manhattan Frames: Beyond the Manhattan World CVPR 2014
Model Transport: Towards Scalable Transfer Learning on Manifolds CVPR 2014
Aerial Reconstructions via Probabilistic Data Fusion CVPR 2014
A Geometric take on Metric Learning NIPS 2012